A5102901399- Neural dynamics and brain function
- Neuroendocrine regulation and behavior
- Zebrafish Biomedical Research Applications
- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
- Stress Responses and Cortisol
- Human-Animal Interaction Studies
- Memory and Neural Mechanisms
- Neuroscience and Neural Engineering
- Olfactory and Sensory Function Studies
- Robotic Locomotion and Control
- Primate Behavior and Ecology
- Neurotransmitter Receptor Influence on Behavior
- Single-cell and spatial transcriptomics
- Bat Biology and Ecology Studies
- Handwritten Text Recognition Techniques
- Human Pose and Action Recognition
- Soil and Unsaturated Flow
- Landslides and related hazards
- Soil erosion and sediment transport
- Neurobiology and Insect Physiology Research
- Synthesis and Properties of Aromatic Compounds
- Supramolecular Self-Assembly in Materials
- Luminescence and Fluorescent Materials
- Genetics, Aging, and Longevity in Model Organisms
National Center for Nanoscience and Technology
2021-2025
Chinese Academy of Sciences
2018-2025
Shenzhen Institutes of Advanced Technology
2016-2025
Center for NanoScience
2025
University of Chinese Academy of Sciences
2019-2024
Institute of Rock and Soil Mechanics
2021-2024
Hunan Children's Hospital
2023
Center for Excellence in Brain Science and Intelligence Technology
2016-2022
China Aerodynamics Research and Development Center
2022
HKUST Shenzhen Research Institute
2022
Abstract The quantification of animal social behaviour is an essential step to reveal brain functions and psychiatric disorders during interaction phases. While deep learning-based approaches have enabled precise pose estimation, identification behavioural classification multi-animals, their application challenged by the lack well-annotated datasets. Here we show a computational framework, Social Behavior Atlas (SBeA) used overcome problem caused limited SBeA uses much smaller number...
Temporal lobe epilepsy (TLE) is one of the most common drug-resistant forms in adults and usually originates hippocampal formations. However, both network mechanisms that support seizure spread exact directions ictal propagation remain largely unknown. Here we report dissection hippocampal-entorhinal cortex (HP-EC) structures using optogenetic methods multiple brain regions a kainic acid-induced model TLE VGAT-ChR2 transgenic mice. We perform highly temporally precise cross-area analyses...
Animal behavior usually has a hierarchical structure and dynamics. Therefore, to understand how the neural system coordinates with behaviors, neuroscientists need quantitative description of dynamics different behaviors. However, recent end-to-end machine-learning-based methods for analysis mostly focus on recognizing behavioral identities static timescale or based limited observations. These approaches lose rich dynamic information cross-scale Here, inspired by natural animal we address...
Elucidating the underlying mechanism of effective chirality and energy transfer processes observed in biological assemblies has cross-disciplinary significance, it is special interest fields chemistry biology due to pivotal role life. Challenges field include how achieve real-time monitoring dynamics simultaneously, as well distinguish whether these take place ground or excited state. Herein, we first attempt at observation concerted ultrafast between Förster resonance (FRET) generation...
The physiological chirality of extracellular environments is substantially affected by pathological diseases. However, how this stereochemical variation drives host immunity remains poorly understood. Here, it reported that pathology-mimetic M-nanofibrils-but not physiology-mimetic P-nanofibrils-act as a defense mechanism helps to restore tissue homeostasis manipulating immunological response. Quantitative multi-omics in vivo and vitro shows M-nanofibrils significantly inhibit inflammation...
Surface adhesion has a great contradiction in high strength and good reversibility given their mutually exclusive requirements of fixed crosslinked networks dynamic chain motion. Herein, we demonstrate supramolecular organoplatinum(II) adhesive system regulated by intermolecular PtII ⋅⋅⋅PtII interactions that can simultaneously achieve high-strength excellent reversible to various substrates. Upon alternating temperature, the assembly suitably substituted molecules switch between...
Elevated interstitial fluid pressure (IFP) within pathological tissues (e.g., tumors, obstructed kidneys, and cirrhotic livers) creates a significant hindrance to the transport of nanomedicine, ultimately impairing therapeutic efficiency. Among these tissues, solid tumors present most challenging scenario. While several strategies through reducing tumor IFP have been devised enhance nanoparticle delivery, few approaches focus on modulating intrinsic properties nanoparticles effectively...
Gas sensors based on organic molecules are attractive for their tailored molecular structures and controllable functions, but weak interfacial adhesion between sensing materials supporting substrates has severely hampered practical applications, particularly in harsh environments. Here, inspired by the combined anchoring-recognizing feature of natural olfactory systems, an adhesive-integrated-agent strategy to integrate adhesive unit (poly(dimethylsiloxane)) with (organoplatinum(II)) into...
Abstract Background Sex differences ranging from physiological functions to pathological disorders are developmentally hard-wired in a broad range of animals, invertebrates humans. These ensure that animals can display appropriate behaviors under variety circumstances, such as aggression, hunting, sleep, mating, and parental care, which often thought be important the acquisition resources, including territory, food, mates. Although there reports an absence sexual dimorphism context innate...
The Ventral Tegmental Area (VTA) is a midbrain structure known to integrate aversive and rewarding stimuli, but little about the role of VTA glutamatergic (VGluT2) neurons in these functions. Direct activation VGluT2 soma evokes behaviors, while their downstream projections behaviors. To facilitate our understanding conflicting properties, we recorded calcium signals from VTAVGluT2+ using fiber photometry VGluT2-cre mice investigate how this population was recruited by stimulation, both...
Deep neural networks are efficient methods to achieve real-time visualization of physics fields. The main concerns that prevented deep learning from being implemented in the field energy conversion were risks overfitting and lack data. Therefore, it is necessary evaluate different kinds surrogate modeling provide guidelines for designers choose models. In this study, three conventional models (Artificial Neural Network, Radial Bias Function, Kriging), two learning-based (Convolutional...
Recent advances in optogenetics have established a precisely timed and cell-specific methodology for understanding the functions of brain circuits mechanisms underlying neuropsychiatric disorders. However, fabrication optrodes, key functional element optogenetics, remains great challenge. Here, we report reliable efficient strategies chronically implantable optrode arrays. To improve performance fabricated arrays, surfaces recording sites were modified using optimized electrochemical...
Stress is a risk factor for emotion and energy metabolism disorders. However, the neurocircuitry mechanisms initiation glucose mobilization underlying stress responses are unclear. Here we demonstrate that photoactivation of Gad2+ projection from anterior bed nucleus stria terminalis (aBNST) to arcuate (ARC) induces anxiety-like behavior as well acute hyperglycemia. Photoinhibition circuit anxiolytic blocks hyperglycemia induced by restraint stress. Pharmacogenetic inhibition ARCGad2+→raphe...
Abstract The study of social behaviors in animals is essential for understanding their survival and reproductive strategies. However, accurately tracking analyzing the interactions free-moving has remained a challenge. Existing multi-animal pose estimation techniques suffer from drawbacks such as need extensive manual annotation difficulty discriminating between similar-looking close interactions. In this paper, we present Social Behavior Atlas (SBeA), novel computational framework that...
Despite the advent of deep learning in computer vision, general handwriting recognition problem is far from solved. Most existing approaches focus on datasets that have clearly written text and carefully segmented labels. In this paper, we instead handwritten characters maintenance logs, a constrained setting where data very limited noisy. We break into two consecutive stages word segmentation respectively, utilize augmentation techniques to train both stages. Extensive comparisons with...
Abstract SMI‐32 is widely used to identify entire populations of alpha retinal ganglion cells (RGCs), and several + RGC subsets have been studied thoroughly in rodents. However, due the thick cover neurofilaments, morphology RGCs central region obscured rarely described. Moreover, labels more than one morphological type full characteristics distribution yet be discovered. Here, using intracellular neurobiotin injections combined with antibody staining, we investigated distributional...
Objective.Extracellular electrophysiology has been widely applied to neural circuit dissections. However, long-term multiregional recording in free-moving mice remains a challenge. Low-cost and easy-fabrication of elaborate drivable electrodes is required for their prevalence.Approach.A three-layer nested construct (outside diameter, OD ∼ 1.80 mm, length ∼10 <0.1 g) was recruited as component, which consisted an ethylene-vinyl acetate copolymer heat-shrinkable tube, non-closed loop ceramic...